Dyver is an AI-driven platform that automates the retrieval, normalization, and enrichment of product data for e-commerce businesses, enabling them to launch SEO-optimized product listings up to 10 times faster. By streamlining data onboarding processes, Dyver enhances product data completeness and accuracy, significantly reducing manual workload and operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
E-commerce businesses face challenges in efficiently managing and enriching product data, leading to incomplete or inaccurate listings. This results in reduced search visibility, lower conversion rates, and increased manual workload for data onboarding and maintenance.
Solution
Dyver offers an AI-powered platform designed to automate the retrieval, normalization, and enrichment of product data for e-commerce businesses. The platform streamlines the data onboarding process, enabling businesses to launch SEO-optimized product listings faster. By automating tasks such as data retrieval, attribute conversion, categorization, and translation, Dyver ensures product data completeness and accuracy, reducing manual effort and improving time-to-market. The system retrieves data from various sources, including public databases and manufacturer data, to achieve high completeness rates, even in unstandardized industries.
Target Audience
Dyver primarily targets e-commerce businesses across various industries, including fashion, beauty, sports goods, and electronics, seeking to improve product data quality and accelerate time-to-market.
Features
- AI-driven data retrieval and enrichment from diverse sources
- Automated conversion of product data into structured attributes
- AI-powered categorization and mapping of product catalogs
- Automated translation of product listings into 100+ languages
- Synchronization of product variants for consistent data
- Up to 97% product data completeness, minimizing thin content
- API for integration with existing e-commerce workflows